--- title: "Carl Yang — author profile and papers — Elamur Research" description: "Carl Yang, Georgia Institute of Technology: 3 papers on Elamur Research (2024–2026), h-index 34 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/carl-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/carl-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Carl Yang # Carl Yang Carl Yang has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Ran Xu](https://md.research.elamur.ai/free/en/authors/ran-xu/), [Aman Rangapur](https://md.research.elamur.ai/free/en/authors/aman-rangapur/), [Haoran Wang](https://md.research.elamur.ai/free/en/authors/haoran-wang/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5006897094) · [ORCID](https://orcid.org/0000-0001-9145-4531) · [Wikidata](https://www.wikidata.org/wiki/Q130801329) · [**h-index 34**](https://openalex.org/authors/A5006897094) · [250 works](https://openalex.org/works?filter=author.id:A5006897094) · [4,201 citations](https://openalex.org/works?filter=author.id:A5006897094&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/carl-yang/#papers) · [🔗 Cited 79 times in our library](https://md.research.elamur.ai/free/en/authors/carl-yang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8159](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8159) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Carl+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Carl+Yang) · [dblp](https://dblp.org/search?q=Carl+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Carl+Yang) ## Affiliations [🎓**Emory University** Atlanta · United States 2020–2026 · 201 papersEmployment 2020–2026 · Assistant Professor, Computer ScienceEmployment since 2026 · Associate Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/emory-university/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2014–2024 · 22 papersEducation 2014–2020 · PhD, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Zhejiang University** Hangzhou · China 2010–2014Education 2010–2014 · BEng, Computer Science and Technology](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/carl-yang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/carl-yang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/carl-yang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-openrubrics-scalable-synthetic-rubric-generation/)** *(2026 · 25 citations)* Reward models for RLHF usually output a single score or a pairwise verdict. These signals miss the many dimensions of human preference, especially in subjective tasks where correctness cannot be checked automatically. Rubric-based rewards can help, but rubrics written by experts are costly, and rubrics produced by… 2. **[Piecing It All Together: Verifying Multi-Hop Multimodal Claims](https://md.research.elamur.ai/free/en/papers/wang-2025-piecing-it-all-together-verifying/)** *(2025 · 8 citations)* The paper addresses a gap in fact-checking research. Existing benchmarks either handle multimodal claims or multi-step textual reasoning, but none require both together. The authors define a new task, multi-hop multimodal claim verification. A system must combine several pieces of evidence from text, images and… 3. **[Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation](https://md.research.elamur.ai/free/en/papers/shen-2024-boosting-reward-model-preference-conditional/)** *(2024 · 5 citations)* Reward models used to align LLMs need preference data: a prompt, two candidate answers and a label saying which is better. ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records ↗](https://aclanthology.org/2024.emnlp-main.1245/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wenqi Shi et al.*2024 · 74 citations* 2. **[SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction ↗](https://aclanthology.org/2022.naacl-main.171/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yuxin Xiao et al.*2022 · 72 citations* 3. **[OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-openrubrics-scalable-synthetic-rubric-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianci Liu, Ran Xu, Tony Yu, et al.*2026 · 25 citations* 4. **[Piecing It All Together: Verifying Multi-Hop Multimodal Claims](https://md.research.elamur.ai/free/en/papers/wang-2025-piecing-it-all-together-verifying/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Haoran Wang, Aman Rangapur, Xiongxiao Xu, et al.*2025 · 8 citations* 5. [**Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation arXiv:2407.16008**Jiaming Shen, Ran Xu, Yennie Jun, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/shen-2024-boosting-reward-model-preference-conditional/) 6. **[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation ↗](https://aclanthology.org/2026.findings-acl.849/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Ran Xu et al.*2026* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Ran Xu](https://md.research.elamur.ai/free/en/authors/ran-xu/) ×2 - [Aman Rangapur](https://md.research.elamur.ai/free/en/authors/aman-rangapur/) - [Haoran Wang](https://md.research.elamur.ai/free/en/authors/haoran-wang/) - [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/) - [Ilgee Hong](https://md.research.elamur.ai/free/en/authors/ilgee-hong/) - [Jiaming Shen](https://md.research.elamur.ai/free/en/authors/jiaming-shen/) - [Kai Shu](https://md.research.elamur.ai/free/en/authors/kai-shu/) - [Michael Bendersky](https://md.research.elamur.ai/free/en/authors/michael-bendersky/) - [Simon Baumgartner](https://md.research.elamur.ai/free/en/authors/simon-baumgartner/) - [Tianqi Liu](https://md.research.elamur.ai/free/en/authors/tianqi-liu/) - [Tuo Zhao](https://md.research.elamur.ai/free/en/authors/tuo-zhao/) - [Zhen Qin](https://md.research.elamur.ai/free/en/authors/zhen-qin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - Findings of the Association for Computational Linguistics: ACL 2026 - Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 79 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/carl-yang/cited-by/). Updated 30 October 2026